Effective resource allocation in cloud computing continues a critical challenge due to dynamic loads, stringent service-level expectations, and the need to balance execution time, energy, and cost.
With the increasing number of large-scale problems, traditional hybrid algorithms are prone to falling into local optima, insufficient diversity, and low convergence accuracy, which urgently need to ...
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